Conference paper Open Access

Mitigating Correlation Problems in Turbo Decoders

Garzon-Bohorquez, Ronald; Klaimi, Rami; Abdel Nour, Charbel; Douillard, Catherine


JSON-LD (schema.org) Export

{
  "description": "<p>In this paper, new interleaver design criteria for turbo codes are proposed, targeting the reduction of the correlation between&nbsp; component decoders. To go beyond the already known correlation girth maximization, we propose several additional criteria that limit the impact of short correlation cycles and increase code diversity. Two application examples are elaborated, targeting an 8-state binary turbo code and a non-binary Turbo code defined over GF(64). The proposed design criteria are shown to improve the error correcting performance of the code, especially in the error floor region.<br>\n&nbsp;</p>", 
  "license": "http://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "IMT Atlantique", 
      "@type": "Person", 
      "name": "Garzon-Bohorquez, Ronald"
    }, 
    {
      "affiliation": "IMT Atlantique", 
      "@type": "Person", 
      "name": "Klaimi, Rami"
    }, 
    {
      "affiliation": "IMT Atlantique", 
      "@type": "Person", 
      "name": "Abdel Nour, Charbel"
    }, 
    {
      "affiliation": "IMT Atlantique", 
      "@type": "Person", 
      "name": "Douillard, Catherine"
    }
  ], 
  "headline": "Mitigating Correlation Problems in Turbo Decoders", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2018-12-03", 
  "url": "https://zenodo.org/record/2560000", 
  "keywords": [
    "Turbo codes", 
    "correlation in decoding", 
    "interleaving", 
    "asymptotic performance"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1109/ISTC.2018.8625316", 
  "@id": "https://doi.org/10.1109/ISTC.2018.8625316", 
  "@type": "ScholarlyArticle", 
  "name": "Mitigating Correlation Problems in Turbo Decoders"
}
21
17
views
downloads
Views 21
Downloads 17
Data volume 26.0 MB
Unique views 20
Unique downloads 16

Share

Cite as